Local AI
169 articles
-
DGX Station GB300 for Universities: How Research Labs Can Build Their Own AI Infrastructure
How a research lab can run a DGX Station GB300 as its own AI node: who administers it, MIG sharing, data handling and how it fits with NSCC...
Wei Fei
·
-
NVIDIA DGX Station GB300 for RAG: Build a Private Enterprise Knowledge Assistant
Build a private RAG assistant on DGX Station GB300: what NVIDIA documents, embedding and vector store choices, ingestion, permissions and evaluation.
Wei Fei
·
-
Deploying vLLM on NVIDIA DGX Station GB300: A Practical Enterprise Guide
How to deploy vLLM on DGX Station GB300: container choice, pinning the GB300, HBM vs LPDDR5X memory, NVFP4 models, health checks and secure access.
Wei Fei
·
-
NVIDIA DGX Station GB300 for Fine-Tuning: LoRA, QLoRA and Enterprise Model Customization
What fits on a DGX Station GB300 for LoRA, QLoRA and full fine-tuning, which tools are documented on it, and a practical pipeline from data to serving.
Wei Fei
·
-
NVIDIA DGX Station GB300 Setup Guide: From Unboxing to Your First AI Model
Set up an NVIDIA DGX Station GB300: cabling, BMC and OS first boot, GPU checks, pinning the GB300 and serving a first model with NVIDIA's vLLM playbook.
Wei Fei
·
-
AI Workstations Are Getting Smaller, but Data Centres Aren't Going Away
GB10, Mac Studio and RTX Spark put 128–512 GB AI on a desk, while hyperscalers spend ~US$720B+. Which AI work belongs where for Singapore firms.
Wei Fei
·
-
Why Your AI Project Might Need More Networking Power Than GPU Power
When networking really limits AI and when GPU memory matters more: link speeds, model-loading maths and cluster advice for SME AI projects.
Wei Fei
·
-
The AI Storage Crisis: Why Fast SSDs May Become the Next Expensive Bottleneck
Why AI demand pushed enterprise SSD prices up in 2026, when storage speed really limits AI, and how SMEs should plan capacity and endurance.
Wei Fei
·
-
Are Businesses Buying AI Servers Before They Have a Real AI Strategy?
What McKinsey, MIT NANDA and Deloitte data say about AI value, and the questions to answer before buying a GPU server or AI workstation.
Wei Fei
·
-
Mac Studio vs ASUS ProArt GR1X: Is Windows Finally Ready to Challenge Apple for Local AI?
Mac Studio M5 Max vs ASUS ProArt GR1X (RTX Spark): bandwidth, Windows on Arm AI software, creator apps and estimated Singapore pricing compared.
Wei Fei
·
-
Why a S$5,000 AI PC Could Be a Better Buy Than a S$15,000 Mac Studio
Is a S$15,000 Mac Studio worth it for local AI, or does a S$5,000 PC do the job? Real Singapore configurations compared by workload, memory and price.
Wei Fei
·
-
Can a Mac Studio Replace a S$30,000 AI Workstation?
Mac Studio M5 Ultra vs an RTX PRO 6000 workstation: which AI workloads move to a Mac, which need NVIDIA GPUs, and what each costs in Singapore.
Wei Fei
·
-
Apple Mac Studio vs Custom RTX 5090 PC: The AI Workstation Battle Nobody Expected
Mac Studio M5 Ultra vs a custom RTX 5090 PC for local AI: measured speed, big-model limits, power, upgrades, availability and Singapore pricing.
Wei Fei
·
-
Is Apple's Unified Memory More Valuable Than NVIDIA's Raw GPU Power?
Memory capacity, bandwidth or GPU compute: which spec predicts local AI speed? Mac Studio, GB10, RTX Spark, RTX 5090 and RTX PRO 6000 compared.
Wei Fei
·
-
Build Your Own AI PC or Buy a Mac Studio? The Hidden Costs Nobody Calculates
DIY RTX 5090 AI PC vs Mac Studio: GPU street prices, electricity at Singapore tariffs, warranty, maintenance and upgrade costs compared.
Wei Fei
·
-
Why Buying a Mac Studio for AI Could Be Your Most Expensive Developer Mistake
When a Mac Studio is the wrong AI developer machine: no CUDA, vllm-metal maturity, PyTorch MPS gaps, no GPU in Docker, and a checklist before you buy.
Wei Fei
·
-
Stop Buying Expensive GPUs? Why Apple Mac Studio Is Changing the Local AI Game
Does Apple's unified memory replace high-VRAM GPUs? Cost per GB, measured speed vs RTX PRO 6000 and RTX 5090, and who can stop buying GPUs.
Wei Fei
·
-
Why AI Developers Are Considering Mac Studio Instead of NVIDIA DGX Spark
Mac Studio M5 Ultra vs DGX Spark for developers: bandwidth, 256GB+ memory, setup, MLX vs CUDA, fine-tuning and serving, plus Singapore prices.
Wei Fei
·
Wei Fei
